tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU [[{{node vgg/pool1/MaxPool}}]]

[mumuyanyan]

Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU
[[{{node vgg/pool1/MaxPool}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "test.py", line 274, in
style_transfer(**vars(args))
File "test.py", line 181, in style_transfer
image: style_image[np.newaxis,:]
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 950, in run
run_metadata_ptr)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1350, in _do_run
run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Default MaxPoolingOp only supports NHWC on device type CPU
[[node vgg/pool1/MaxPool (defined at /tmp/tmpsb0fdgud.py:30) ]]

Errors may have originated from an input operation.
Input Source operations connected to node vgg/pool1/MaxPool:
vgg/conv1_2/Relu (defined at /tmp/tmp649k6325.py:74)

Original stack trace for 'vgg/pool1/MaxPool':
File "test.py", line 274, in
style_transfer(**vars(args))
File "test.py", line 83, in style_transfer
decoder_weights if decoder_in_h5 else None, alpha, data_format=data_format)
File "test.py", line 216, in build_graph
vgg = build_vgg(image, w, data_format=data_format)
File "/home/nd/workspace/workspace_lsh/tf-adain/adain/nn.py", line 54, in build_vgg
activation=tf.nn.relu, trainable=False, data_format=data_format)
File "/home/nd/workspace/workspace_lsh/tf-adain/adain/nn.py", line 102, in build_net
data_format=data_format)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/pooling.py", line 311, in max_pooling2d
return layer.apply(inputs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1479, in apply
return self.call(inputs, *args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 537, in call
outputs = super(Layer, self).call(inputs, *args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 634, in call
outputs = call_fn(inputs, *args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/autograph/impl/api.py", line 146, in wrapper
), args, kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/autograph/impl/api.py", line 450, in converted_call
result = converted_f(*effective_args, **kwargs)
File "/tmp/tmpsb0fdgud.py", line 30, in tf__call
outputs = ag.converted_call('pool_function', self, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (inputs,), {'ksize': pool_shape, 'strides': strides, 'padding': ag__.converted_call('upper', self.padding, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (), None), 'data_format': ag__.converted_call('convert_data_format', conv_utils, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (self.data_format, 4), None)})
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/autograph/impl/api.py", line 356, in converted_call
return _call_unconverted(f, args, kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/autograph/impl/api.py", line 253, in _call_unconverted
return f(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/nn_ops.py", line 3756, in max_pool
name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 5672, in max_pool
data_format=data_format, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()

[adesgautam]

I am getting almost the same error:

/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:458: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:459: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:460: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:461: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:462: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:465: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Number of content images: 1
Number of style images: 1
2020-08-17 04:00:43.689470: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2020-08-17 04:00:43.689508: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2020-08-17 04:00:43.689526: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2020-08-17 04:00:43.689539: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2020-08-17 04:00:43.689551: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2020-08-17 04:00:43.883130: E tensorflow/core/common_runtime/executor.cc:644] Executor failed to create kernel. Invalid argument: CPU BiasOp only supports NHWC.
[[Node: vgg/BiasAdd = BiasAdd[T=DT_FLOAT, data_format="NCHW", _device="/job:localhost/replica:0/task:0/cpu:0"](vgg/Conv2D, vgg/Variable_1/read)]]
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
File "/usr/lib/python3.6/contextlib.py", line 88, in exit
next(self.gen)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: CPU BiasOp only supports NHWC.
[[Node: vgg/BiasAdd = BiasAdd[T=DT_FLOAT, data_format="NCHW", _device="/job:localhost/replica:0/task:0/cpu:0"](vgg/Conv2D, vgg/Variable_1/read)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "tf-adain/test.py", line 274, in
style_transfer(**vars(args))
File "tf-adain/test.py", line 181, in style_transfer
image: style_image[np.newaxis,:]
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1152, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: CPU BiasOp only supports NHWC.
[[Node: vgg/BiasAdd = BiasAdd[T=DT_FLOAT, data_format="NCHW", _device="/job:localhost/replica:0/task:0/cpu:0"](vgg/Conv2D, vgg/Variable_1/read)]]

Caused by op 'vgg/BiasAdd', defined at:
File "tf-adain/test.py", line 274, in
style_transfer(**vars(args))
File "tf-adain/test.py", line 83, in style_transfer
decoder_weights if decoder_in_h5 else None, alpha, data_format=data_format)
File "tf-adain/test.py", line 216, in _build_graph
vgg = build_vgg(image, w, data_format=data_format)
File "/content/tf-adain/adain/nn.py", line 54, in build_vgg
activation=tf.nn.relu, trainable=False, data_format=data_format)
File "/content/tf-adain/adain/nn.py", line 106, in _build_net
layer = vgg_preprocess(layer, data_format=data_format)
File "/content/tf-adain/adain/layer.py", line 34, in vgg_preprocess
return tf.nn.bias_add(conv2d, b, data_format=data_format)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/nn_ops.py", line 1290, in bias_add
return gen_nn_ops._bias_add(value, bias, data_format=data_format, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 283, in _bias_add
data_format=data_format, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1269, in init
self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): CPU BiasOp only supports NHWC.
[[Node: vgg/BiasAdd = BiasAdd[T=DT_FLOAT, data_format="NCHW", _device="/job:localhost/replica:0/task:0/cpu:0"](vgg/Conv2D, vgg/Variable_1/read)]]